curiosity deep dive discovery mapper
by nowrich
Transform any topic into a structured exploration map with subtopics, communities, and project angles.
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Works with the AI tools you already use
See it in action
You say
Create a discovery map for "WebAssembly (Wasm) in the browser".
Your agent does
Entry Points
- How does Wasm interact with the JavaScript event loop?
Search Terms
- "wasm-bindgen best practices", "performance benchmarks JS vs Wasm"
Subtopics
- Memory Management
- Compiling C++/Rust to Wasm
Project Angles
- Port a C++ physics engine to the web.
What you get
About this skill
The problem
Synthesizing a new topic from scratch often leads to surface-level research and fragmented information. Developers and creators waste hours searching for the right communities, technical subtopics, and project ideas to ground their learning.
What it does
- Generates beginner-friendly entry points and surprising technical facts to frame the topic.
- Provides curated search queries for high-quality research and data gathering.
- Breaks down broad subjects into a structured hierarchy of subtopics and related concepts.
- Identifies specific communities, visual simulations, and project angles for hands-on application.
- Outlines logical next steps for deeper discovery paths to prevent research dead-ends.
Why this beats prompting it yourself
Writing a prompt that covers taxonomies, community sourcing, and project ideation simultaneously is difficult to tune. This skill uses a structured schema to ensure you get consistent, multi-layered maps rather than generic summaries or listicles.
Use cases
- Researching a new technical domain for a project or side hustle.
- Creating comprehensive content pillars and curriculum for educational products.
- Onboarding onto a complex subject by identifying the most active developer communities.
- Generating project ideas and visual references for a portfolio piece.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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